Evidence receipt / recommendation
Published · transcript-backedShawn Wang: recommendation
23 Apr 2026 Latent Space AIE Europe Debrief + Agent Labs Thesis: Unsupervised Learning x Latent Space Crossover Special (2026)
“Yeah, like I would actually advise and topic to tune down the marketing because also it’s, it is just a very good model and you don’t have to make so many marketing claims around it.”
Source trail
Everything needed to verify it.
- Speaker
- Shawn Wang
- Attribution
- Verified speaker
- Claim type
- recommendation
- Recorded
- 23 Apr 2026
- Publisher
- Latent Space
Transcript context
…almost like the OG Jeffrey Hinton. Like, this is why you should be scared. I’m like, yeah, like the read the, you know, risk reports. Like this is like the thing. Um, I think, and Mike was just sitting there knowing he was sitting on Mythos and going like, actually it’s security. Um, and I think like, um, I think the, there’s, there’s, part of it is. A very good marketing. Like too good. Yeah, like I would actually advise and topic to tune down the marketing because also it’s, it is just a very good model and you don’t have to make so many marketing claims around it. At the same time, it is not really a private model. If you give it to 40 companies. Each of whom have like 10,000 employees or whatever. Right. It’s not, it’s not private, it’s, it’s like there’s bad actors in there. Yeah. Hopefully, hopefully not as, uh, as bad as releasing it widely, but, uh, no, I mean, it’s an interesting. You know, it’s an interesting case study for how all, I mean, many model releases might, I mean, you know, this might be the first model release that looks like the rest of ‘em from from now on, right?…
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